The session featured discussions on data-driven approaches to electricity demand modeling and control, highlighting recent advancements in machine learning applications for energy systems.

INFORMS 2024 Energy Track

Chaired the “Leveraging Machine Learning for Advanced Demand-Side Electricity Management” session in the Energy Track at the 2024 INFORMS Annual Meeting in Seattle, WA.

Thank you to Dr. Grant Ruan, Dr. Yue Chen, Dr. Jay Rosenberger, Dr. SangWoo Park and Dr. Andrew Liu for their contributions and to everyone who attended and engaged.